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Found 2,167 Skills
Create tldr summaries for GitHub Copilot files (prompts, agents, instructions, collections), MCP servers, or documentation from URLs and queries.
Execute workflow agents iteratively for refinement and progressive improvement until quality criteria are met. Use when tasks require repetitive refinement, multi-iteration improvements, progressive optimization, or feedback loops until convergence.
Seamless.AI platform help — Prospector, Buyer Intent, Job Changes, CRM Enrich, Pitch Intelligence, Engagement Hub (email, calling, social), AI Agents, Autopilot, Chrome extension, API. Use when asking 'how do I do X in Seamless.AI', configuring Seamless.AI settings, searching for contacts/companies, setting up Buyer Intent, using Pitch Intelligence, managing AI Agents, or using the Seamless.AI API. Do NOT use for building prospect lists (use /sales-prospect-list), enriching contacts across tools (use /sales-enrich), interpreting buying signals across tools (use /sales-intent), cadence strategy (use /sales-cadence), cross-platform deliverability (use /sales-deliverability), or sales content strategy (use /sales-content).
Text formatting conventions for markdown and prose files. Use when writing or editing any .md, .txt, .adoc, or .rst file, including AGENTS.md, SKILL.md files, and documentation in docs/.
People.ai (now Backstory) platform help — automatic activity capture, deal intelligence, pipeline health, revenue forecasting, MCP integration, Salesforce/Dynamics/Oracle CRM sync. Use when reps aren't logging activities and CRM data is stale, deals are slipping without warning and you need early risk signals, forecast accuracy is poor because it's based on gut not data, evaluating People.ai vs Gong vs Clari vs Revenue.io for revenue intelligence, activity data isn't tying back to pipeline or revenue outcomes, or you want to connect People.ai to AI agents via MCP. Do NOT use for conversation intelligence with call recording and transcription (use /sales-gong or /sales-note-taker), building outbound sequences (use /sales-cadence), or general CRM data cleanup strategy (use /sales-data-hygiene).
Use when preparing your agent for production — IAM scoping, inbound auth (JWT, SigV4), secrets management, cold start optimization, session lifecycle, rate limiting, input validation, and quota guidance. Triggers on: "production checklist", "harden agent", "production ready", "secure agent", "inbound auth", "going live", "cold start optimization", "session lifecycle", "StopRuntimeSession", "quota", "throttling", "maxVms", "rate limit", "security audit of outbound API calls", "gateway target audit for production", "restrict who can call", "lock down endpoint", "only our app can call". Not for Cedar tool-restriction policies — use agents-connect. Not for quality measurement — use agents-optimize. Not for outbound credential storage or API key wiring — use agents-connect. Not for A2A agent-to-agent auth — use agents-build. Cold start observation and diagnosis (not optimization) routes to agents-debug.
Platform-neutral guidance for using Open Browser Use, the open-source Chrome automation stack for AI agents. Use when an agent needs to install, verify, troubleshoot, or operate Open Browser Use through its browser extension, native CLI, JavaScript SDK, Python SDK, Go SDK, or Browser Use style JSON-RPC methods; use for tasks involving real Chrome tabs, user tab claiming, CDP commands, downloads, file choosers, clipboard helpers, or session cleanup.
Curate, install, and manage Codex skills from the awesome-codex-skills collection for AI coding agents.
Use this skill when the agent needs to interact with CLAWLOGIC prediction markets. This includes: registering as an agent on-chain, creating new prediction markets, analyzing market questions to form opinions, buying YES/NO positions, asserting market outcomes via UMA Optimistic Oracle, disputing incorrect assertions from other agents, settling resolved markets to claim winnings, and posting bet narratives ("what I bet and why") to the frontend feed. Triggers: - "create a market about..." - "what do you think about [market question]?" - "buy YES/NO on market..." - "assert the outcome of market..." - "dispute the assertion on market..." - "check my positions" - "settle market..." - Any discussion about prediction markets, trading, or information markets
Build and maintain an executable context layer for data and analytics agents using ktx's semantic layer, wiki knowledge, and MCP integration
End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration.
Diagnose the existing .claude/ system (CLAUDE.md, Agents, Rules, Skills, hooks), present the differences from the ideal state, and supplement/enhance it after user approval. Use it with commands like ".claude enhance", "CLAUDE.md enhance", "Agent maintain", "claude system update", "Rules add", etc. Use init-claude for new setups. Features include supplementing missing components via npx skills add, verifying prerequisites for implement-issue-tree, and differential updates without destroying existing assets.